Image de couverture de livre

Multilingual Prompts in LLM-Based Recommenders: Performance Across Languages

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Ozsoy, Makbule Gulcin
Format:	Preprint
Publié:	2024
Sujets:	Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multi-Margin Cosine Loss: Proposal and Application in Recommender Systems
par: Ozsoy, Makbule Gulcin
Publié: (2024)

Text2Cypher Across Languages: Evaluating and Finetuning LLMs
par: Ozsoy, Makbule Gulcin, et autres
Publié: (2025)

Incremental Multilingual Text2Cypher with Adapter Combination
par: Ozsoy, Makbule Gulcin
Publié: (2026)

Extending Confidence-Based Text2Cypher with Grammar and Schema Aware Filtering
par: Ozsoy, Makbule Gulcin
Publié: (2026)

Toward Multi-Database Query Reasoning for Text2Cypher
par: Ozsoy, Makbule Gulcin
Publié: (2026)

Enhancing Text2Cypher with Schema Filtering
par: Ozsoy, Makbule Gulcin
Publié: (2025)

Text2Cypher: Data Pruning using Hard Example Selection
par: Ozsoy, Makbule Gulcin
Publié: (2025)

GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts
par: Li, Xinyu, et autres
Publié: (2024)

A Prompting-Based Representation Learning Method for Recommendation with Large Language Models
par: Chen, Junyi, et autres
Publié: (2024)

Reinforced Prompt Personalization for Recommendation with Large Language Models
par: Mao, Wenyu, et autres
Publié: (2024)

Can Fairness Be Prompted? Prompt-Based Debiasing Strategies in High-Stakes Recommendations
par: Rotar, Mihaela, et autres
Publié: (2026)

Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
par: Zhao, Yuchuan, et autres
Publié: (2026)

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation
par: Kusano, Genki, et autres
Publié: (2025)

Enhancing News Recommendation with Hierarchical LLM Prompting
par: Kieu, Hai-Dang, et autres
Publié: (2025)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era
par: Chen, Bo, et autres
Publié: (2024)

RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models
par: Liu, Dairui, et autres
Publié: (2023)

Personalized Prompt for Sequential Recommendation
par: Wu, Yiqing, et autres
Publié: (2022)

Scholar Name Disambiguation with Search-enhanced LLM Across Language
par: Zhao, Renyu, et autres
Publié: (2024)

Hypercomplex Prompt-aware Multimodal Recommendation
par: Chen, Zheyu, et autres
Publié: (2025)

LLM-Rec: Personalized Recommendation via Prompting Large Language Models
par: Lyu, Hanjia, et autres
Publié: (2023)

HierLLM: Hierarchical Large Language Model for Question Recommendation
par: Liu, Yuxuan, et autres
Publié: (2024)

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
par: Wei, Wei, et autres
Publié: (2024)

Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
par: Zhang, Zhiyang, et autres
Publié: (2026)

Uncertainty-Aware Semantic Decoding for LLM-Based Sequential Recommendation
par: Yin, Chenke, et autres
Publié: (2025)

UniRec: Unified Multimodal Encoding for LLM-Based Recommendations
par: Lei, Zijie, et autres
Publié: (2026)

Efficient Multi-task Prompt Tuning for Recommendation
par: Bai, Ting, et autres
Publié: (2024)

Collaborative User Prompt for Personalized Generative Recommendation
par: Ramos, Jerome, et autres
Publié: (2024)

Automating Personalization: Prompt Optimization for Recommendation Reranking
par: Wang, Chen, et autres
Publié: (2025)

Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector
par: Nguyen, Thong, et autres
Publié: (2025)

NoteLLM: A Retrievable Large Language Model for Note Recommendation
par: Zhang, Chao, et autres
Publié: (2024)

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
par: Zhang, Yang, et autres
Publié: (2023)

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems
par: Kusano, Genki, et autres
Publié: (2024)

Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support
par: Liu, Qijiong, et autres
Publié: (2024)

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning
par: Zheng, Shanle, et autres
Publié: (2025)

FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation
par: He, Xinrui, et autres
Publié: (2026)

RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
par: Hou, Min, et autres
Publié: (2025)

Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations
par: Liu, Yibin, et autres
Publié: (2025)

Serendipitous Recommendation with Multimodal LLM
par: Wang, Haoting, et autres
Publié: (2025)

LLM, Reporting In! Medical Information Extraction Across Prompting, Fine-tuning and Post-correction
par: Belmadani, Ikram, et autres
Publié: (2025)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
par: Cui, Yu, et autres
Publié: (2024)